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Learn Machine Learning by Doing Learn Now

Books

The best books on Data Science, Big Data, Data Mining, Machine Learning, Python, R, SQL, NoSQL and more. Sorted by popularity.

R Programming
Languages: R
Learning Languages

R Programming

Wikibooks, 2014

The aim of this Wikibook is to be the place where anyone can share his or her knowledge and tricks on R. It is supposed to be organized by task but not by discipline. We try to make a cross-disciplinary book, i.e. a book that can be used by all.

Python for You and Me
Languages: Python
Learning Languages

Python for You and Me

Kushal Das, 2015

This is a simple book to learn the Python programming language, it is for the programmers who are new to Python.

A First Encounter with Machine Learning
Data Mining and Machine Learning

A First Encounter with Machine Learning

Max Welling, 2011
NoSQL Databases
Languages: NoSQL
SQL, NoSQL, and Databases

NoSQL Databases

Christof Strauch
A Course in Machine Learning
Data Mining and Machine Learning

A Course in Machine Learning

Hal Daumé III, 2014
Hadoop Tutorial as a PDF
Distributed Computing Tools

Hadoop Tutorial as a PDF

Tutorials Point
Online Learning Resource

Intro to Hadoop - An open-source framework for storing and processing big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines.

Real-World Active Learning
Data Mining and Machine Learning

Real-World Active Learning

Ted Cuzzillo, 2015

Applications and Strategies for Human-in-the-loop Machine Learning.

School of Data Handbook
Data Science in General

School of Data Handbook

School of Data, 2015

The School of Data Handbook is a companion text to the School of Data. Its function is something like a traditional textbook – it will provide the detail and background theory to support the School of Data courses and challenges.

Python Practice Book
Languages: Python
Learning Languages

Python Practice Book

Anand Chitipothu, 2014
Anand conducts Python training classes on a semi-regular basis in Bangalore, India.

This book is prepared from the training notes of Anand Chitipothu.

Practical Regression and Anova using R
Languages: R
Learning Languages

Practical Regression and Anova using R

Julian J. Faraway, 2002

This book is NOT introductory. The emphasis of this text is on the practice of regression and analysis of variance. The objective is to learn what methods are available and more importantly, when they should be applied.

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